Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data

HIGHLIGHTS

• who: Steffen Lang from the DepartmentTechnical University have published the Article: Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data, in the Journal: Scientific Reports Scientific Reports
• what: The authors compared the prediction to a random guessing approach per match by taking the percentage of in-game frames, the authors refer to this as the knowledge gain. The authors focused on the estimates of feature importance in the final AD model since it had the best accuracy. The aim of this study was to test the ability of four . . .
  

   

  

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